Trained models with fast variant of the "best" LSTM models + legacy models

Best (most accurate) trained LSTM models.

Fast integer versions of trained LSTM models

Tesseract Language Trained Data

finetuned traineddata files for tesseract 4.0.0 for testing

Retrained Tesseract OCR model for Chinese

tesseract 4 traineddata for MRZ using OCR-B fonts

Tesseract 4 traineddata for recognizing Seven Segment Display

Better models for Indic Scripts

User contributed (non Google) OCR models for Tesseract

Finetuned traineddata files for Arabic

No description available

Tesseract tessdata downloader from GitHub repositories

Traineddata for recognizing emoji icons with Tesseract 4

A tiny simple out-of-the-box api bypass slide captcha and ocr captcha. using opencv and tesseract. self training tessdata.验证码识别服务，支持识别滑动验证码的缺口位置以及数字字母OCR识别内容。

pip installable versions of tesseract-ocr data

TesseractOCR LSTM traineddata file trained using UKIJ Fonts

tesseract字库

Traineddata files for Tesseract 4.0.0 for Coptic OCR

Tesseract 4.0.0 training data for Javanese Script (Aksara Jawa)

NTA eng.traineddata

Santali OCR (Optical Character Recognition). A repository for Santali tessdata files. These are trained for Santali (Ol Chiki) script.

Tamil traineddata for testing

Works fine, please check prior tessdata prior running app. Done in Swift 3.0

This package contains an OCR engine - libtesseract and a command line program - tesseract. Tesseract 4 adds a new neural net (LSTM) based OCR engine which is focused on line recognition, but also still supports the legacy Tesseract OCR engine of Tesseract 3 which works by recognizing character patterns. Compatibility with Tesseract 3 is enabled by using the Legacy OCR Engine mode (--oem 0). It also needs traineddata files which support the legacy engine, for example those from the tessdata repository.

GitHub mirror of the Tesseract OCR tessdata repo

teseract tessdata trained data

tessdata for consumption via npm

Explore TESS data on IC 2391 to create custom light curves

Quick Analysis of Google's Tesseract OCR's Performance on Documents